Evidence map›Paper›PMID 37197015›Full record

ArticleTransplantation direct2023

Walking Ability and Brain Natriuretic Peptide Are Highly Predictive of Kidney Transplant Waiting List Removal.

Daniel A Katz, Patrick Ten Eyck, Grace Binns, Priyadarshini Manay, M Lee Sanders, Jodell L Hornickel, An Vu, Melissa Swee, Roberto Kalil

Open access · goldAbstract read
In one paragraph

Article in Transplantation direct, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 91% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Daniel A KatzDepartment of Surgery, Organ Transplant Center, University of Iowa Hospitals and Clinics, Iowa City, IA.
Patrick Ten EyckInstitute for Clinical and Translational Science, University of Iowa, Iowa City, IA.
Grace BinnsTransplant Department, Veterans Affairs Medical Center, Iowa City, IA.
Priyadarshini ManayDepartment of Surgery, Organ Transplant Center, University of Iowa Hospitals and Clinics, Iowa City, IA.
M Lee SandersTransplant Department, Veterans Affairs Medical Center, Iowa City, IA.
Jodell L HornickelTransplant Department, Veterans Affairs Medical Center, Iowa City, IA.
An VuTransplant Department, Veterans Affairs Medical Center, Iowa City, IA.
Melissa SweeTransplant Department, Veterans Affairs Medical Center, Iowa City, IA.
Roberto KalilDepartment of Medicine, University of Maryland Medical Center and Veterans Affairs Medical Center, Baltimore, MD.
Veterans Health Administration · USUniversity of Iowa · USUniversity of Iowa Hospitals and Clinics · USUniversity of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kidney transplant waitlist management is complex because waiting time is long, and the patients have significant comorbidities. Identification of patients at highest risk for waiting list removal for death and medical complications could allow better outcomes and allocation of resources. Methods: Demographics, functional and frailty assessment' and biochemical data were retrospectively analyzed on 313 consecutive patients listed for kidney transplant. Troponin, brain natriuretic peptide, components of the Fried frailty metrics, pedometer activity, and treadmill ability were measured at the time of transplant evaluation and at subsequent re-evaluations. Cox proportional hazards models were used to identify factors associated with death or waiting list removal for medical reasons. Multivariate models were created to identify significant predictor sets. Results: Among 249 patients removed while waitlisted, 19 (6.1%) died and 51 (16.3%) were removed for medical reasons. Mean follow-up duration was 2.3 y (±1.5 y). 417 sets of measurements were collected. Significant ( Conclusions: Changes in functional and biochemical markers are predictive of kidney waitlist removal for death and medical reasons. BNP and measures of walking ability were of particular importance.

Identifiers

PMID37197015
PMCPMC10184993
OpenAlexW4376609470

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.